The Experts below are selected from a list of 7161 Experts worldwide ranked by ideXlab platform
Joeri Van Mierlo - One of the best experts on this subject based on the ideXlab platform.
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Battery lifetime prediction and performance assessment of different modeling approaches
iScience, 2021Co-Authors: Sazzad Hosen, Joris Jaguemont, Joeri Van Mierlo, Maitane BerecibarAbstract:Summary Lithium-ion battery technologies have conquered the current energy storage market as the most preferred choice thanks to their development in a longer lifetime. However, choosing the most suitable battery aging modeling methodology based on investigated lifetime characterization is still a challenge. In this work, a comprehensive aging dataset of Nickel-Manganese-Cobalt oxide (NMC) cell is used to develop and/or train different capacity fade models to compare output responses. The assessment is conducted for semi-empirical modeling (SeM) approach against a machine learning model and an artificial neural network model. Among all, the nonlinear autoregressive network (NARXnet) can predict the capacity degradation most precisely minimizing the computational effort as well. This research work signifies the importance of lifetime methodological choice and model performance in understanding the complex and nonlinear Li-ion battery aging behavior.
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Electro-aging model development of Nickel-Manganese-Cobalt lithium-ion technology validated with light and heavy-duty real-life profiles
Journal of Energy Storage, 2020Co-Authors: Sazzad Hosen, Joris Jaguemont, Danial Karimi, Theodoros Kalogiannis, Ashkan Pirooz, Maitane Berecibar, Joeri Van MierloAbstract:Abstract The understanding of battery aging has a significant influence on electric vehicle performance with optimized battery usage on the road. This paper presents a comprehensive electrical-aging model which has been developed by the thorough investigation of commercial Nickel-Manganese-Cobalt (NMC) 20Ah lithium-ion pouch cells. During a span of more than three years, detailed characterization and lifetime tests have been conducted on 75+ cells to build an extensive database of battery test results. A total of 39 aging test conditions covering 10 °C-45 °C temperatures, 20%-90% depth of discharge (DoD), 10%-80% storage state of charge (SoC), and 0.5C-3C current rate (C-rate) are performed to construct a robust electro-lifetime model. Within the scope of this research, the precision of the developed model is validated with both light and heavy-duty real-life dynamic profiles for the first time. More than a yearlong worldwide harmonized light vehicles (WLTC) cycling corresponds to very accurate root-mean-square error (RMSE) of 0.83% and 0.78% at 10 °C and 45 °C temperature, respectively. The model is also able to predict two types of inhouse developed heavy-duty profiles with an RMSE of 1.07% and 0.73%. The robust validation enables the developed tool to model complete aging and can be taken as base work towards online implementation.
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A data-driven method based on recurrent neural network method for online capacity estimation of lithium-ion batteries
2020 IEEE Vehicle Power and Propulsion Conference (VPPC), 2020Co-Authors: Sahar Khaleghi, Maitane Berecibar, S. Hamidreza Beheshti, Joeri Van MierloAbstract:lithium-ion batteries are a convenient choice for various energy storage systems (ESS) such as electric and hybrid vehicles. Nevertheless, the characterization of capacity degradation is critical to ensure the proper performance of lithium-ion batteries. This paper presents a data-driven technique based on a recurrent neural network called nonlinear autoregressive exogenous neural network (NARX) to estimate the capacity degradation of lithium-ion batteries. The voltage charging curves, extracted from twelve Nickel Manganese Cobalt oxide (NMC) cells with different aging trends are used to develop a predictive model for capacity estimation. The results demonstrate that the proposed model is able to estimate capacity with high accuracy and low complexity.
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1D-Thermal Analysis and Electro-Thermal Modeling of Prismatic-Shape LTO and NMC Batteries
2019 IEEE Vehicle Power and Propulsion Conference (VPPC), 2019Co-Authors: Joris Jaguemont, Sazzad Hosen, Theodoros Kalogiannis, Mohsen Akbarzadeh Sokkeh, Lu Jin, Geng Qiao, Joeri Van MierloAbstract:In order to accurately predict and optimize the thermal behavior of batteries, a thermal model using heat equation and thermal parameters, such as the specific heat capacity, is developed. The specific heat capacity is an important parameter for this type of modelling and is determined with a simple method without using any calorimeter. This paper chooses two types of prismatic cells: lithium titanate (LTO) anode-based cell and Nickel Manganese Cobalt oxide (NMC) with 23 Ah and 43 Ah, respectively. Validation was made by comparing the simulation results with experimental work for which an error of less than 3% was shown.
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Thermal Effect of Fast-Charging Profiles on Lithium-Ion Batteries
2018 21st International Conference on Electrical Machines and Systems (ICEMS), 2018Co-Authors: Joris Jaguemont, Mohamed Abdel-monem, Noshin Omar, Joeri Van Mierlo, Peter Van Den BosscheAbstract:In this paper, the effect of fast-charging technics on thermal behavior of lithium-ion batteries is investigated. Fast-charging tests involve typically high-current profiles which leads to high cell temperature increase, and thus in some cases thermal runaways. Most papers in literature present the fast-charging technic from an electrical point-of-view. The thermal aspect is often disregarded. Therefore, two charging profiles that are commonly used for fast-charging applications are applied on two lithium-ion chemistries: lithium Nickel Manganese Cobalt oxide (NMC) and lithium titanate (LTO). Thermal pictures of the cells during the profile are recorded to witness the temperature distribution. In addition, to enlarge the study scope, three environmental temperatures are tested: 25°C, 10°C and 45°C.
Robert J. Hamers - One of the best experts on this subject based on the ideXlab platform.
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Influence of Nanoparticle Morphology on Ion Release and Biological Impact of Nickel Manganese Cobalt Oxide (NMC) Complex Oxide Nanomaterials
ACS Applied Nano Materials, 2018Co-Authors: Mimi Ngoc Hang, Christy L. Haynes, Natalie V. Hudson-smith, Peter L. Clement, Yongqian Zhang, Chenyu Wang, Robert J. HamersAbstract:Lithium intercalation compounds such as Nickel Manganese Cobalt oxides (LixNiyMnzCo1–y–zO2, 0 < x, y, z < 1, or NMCs) are complex transition metal oxides of increasing interest in nanoscale form for applications in electrochemical energy storage and as tunable catalysts. These materials exhibit sheetlike structures that expose low-energy basal planes and higher-energy edge planes in relative amounts that vary with the nanoparticle morphology. Yet there is little understanding of how differences in nanoparticle morphology and exposed crystal planes affect the biological impact of this class of technologically relevant nanomaterials. We investigated how changing nanoparticle morphology from two-dimensional (001)-oriented nanosheets to three-dimensional nanoblocks affects the release of ions and the resulting biological impact using Shewanella oneidensis MR-1 as a model organism. NMC nanoparticles were synthesized in sheetlike morphology and then converted to block morphologies by heating, leading to two mor...
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Influence of Nickel Manganese Cobalt oxide nanoparticle composition on toxicity toward Shewanella oneidensis MR-1: redesigning for reduced biological impact
Environmental Science: Nano, 2017Co-Authors: Ian L. Gunsolus, Mimi N. Hang, Robert J. Hamers, Natalie V. Hudson-smith, Joseph T. Buchman, Joseph W. Bennett, Daniel Conroy, Sara E. Mason, Christy L. HaynesAbstract:Lithium Nickel Manganese Cobalt oxide (LixNiyMnzCo1−y−zO2, 0 < x, y, z < 1, also known as NMC) is a class of cathode materials used in lithium ion batteries. Despite the increasing use of NMC in nanoparticle form for next-generation energy storage applications, the potential environmental impact of released nanoscale NMC is not well characterized. Previously, we showed that the released Nickel and Cobalt ions from nanoscale Li1/3Ni1/3Mn1/3Co1/3O2 were largely responsible for impacting the growth and survival of the Gram-negative bacterium Shewanella oneidensis MR-1 (M. N. Hang et al., Chem. Mater., 2016, 28, 1092). Here, we show the first steps toward material redesign of NMC to mitigate its biological impact and to determine how the chemical composition of NMC can significantly alter the biological impact on S. oneidensis. We first synthesized NMC with various stoichiometries, with an aim to reduce the Ni and Co content: Li0.68Ni0.31Mn0.39Co0.30O2, Li0.61Ni0.23Mn0.55Co0.22O2, and Li0.52Ni0.14Mn0.72Co0.14O2. Then, S. oneidensis were exposed to 5 mg L−1 of these NMC formulations, and the impact on bacterial oxygen consumption was analyzed. Measurements of the NMC composition, by X-ray photoelectron spectroscopy, and composition of the nanoparticle suspension aqueous phase, by inductively coupled plasma-optical emission spectroscopy, showed the release of Li, Ni, Mn, and Co ions. Bacterial inhibition due to redesigned NMC exposure can be ascribed largely to the impact of ionic metal species released from the NMC, most notably Ni and Co. Tuning the NMC stoichiometry to have increased Mn at the expense of Ni and Co showed lowered, but not completely mitigated, biological impact. This study reveals that the chemical composition of NMC nanomaterials is an important parameter to consider in sustainable material design and usage.
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Impact of Nanoscale Lithium Nickel Manganese Cobalt Oxide (NMC) on the Bacterium Shewanella oneidensis MR-1
Chemistry of Materials, 2016Co-Authors: Mimi N. Hang, Ian L. Gunsolus, Hunter Wayland, Eric S. Melby, Arielle C. Mensch, Katie R. Hurley, Joel A. Pedersen, Christy L. Haynes, Robert J. HamersAbstract:Nickel Manganese Cobalt oxide (NMC) comprises a class of lithium intercalation compounds with the composition LxNiyMnzCo1-y-zO2 (0 < x,y,z < 1). These compounds are of emerging importance in nanoparticle form as cathode materials for lithium-ion batteries used in transportation and consumer electronics. To evaluate the potential environmental impact of release of this material in the environment, we synthesized NMC nanosheets and investigated their interaction with Shewanella oneidensis, a soil and sediment bacterium. Exposure to 5 mg/L NMC significantly impaired bacterial population growth and respiration. Measurements of NMC surface composition by X-ray photoelectron spectroscopy and of the composition of the suspending solution via inductively coupled plasma-optical emission spectroscopy (ICP-OES) demonstrated incongruent material dissolution and measurable release of all four metal constituents (Li, Mn, Co, and Ni) into solution. Speciation modeling and assessment of bacterial response to metal ion ex...
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Alteration of Membrane Compositional Asymmetry by LiCoO2 Nanosheets.
ACS nano, 2015Co-Authors: Merve Doğangün, Mimi N. Hang, Eric S. Melby, Joel A. Pedersen, Robert J. Hamers, Julianne M. Troiano, Alicia C. Mcgeachy, Franz M. GeigerAbstract:Given the projected massive presence of redox-active nanomaterials in the next generation of consumer electronics and electric vehicle batteries, they are likely to eventually come in contact with cell membranes, with biological consequences that are currently not known. Here, we present nonlinear optical studies showing that lithium Nickel Manganese Cobalt oxide nanosheets carrying a negative ζ-potential have no discernible consequences for lipid alignment and interleaflet composition in supported lipid bilayers formed from zwitterionic and negatively charged lipids. In contrast, lithiated and delithiated LiCoO2 nanosheets having positive and neutral ζ-potentials, respectively, alter the compositional asymmetry of the two membrane leaflets, and bilayer asymmetry remains disturbed even after rinsing. The insight that some Cobalt oxide nanoformulations induce alterations to the compositional asymmetry in idealized model membranes may represent an important step toward assessing the biological consequences ...
Joris Jaguemont - One of the best experts on this subject based on the ideXlab platform.
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Battery lifetime prediction and performance assessment of different modeling approaches
iScience, 2021Co-Authors: Sazzad Hosen, Joris Jaguemont, Joeri Van Mierlo, Maitane BerecibarAbstract:Summary Lithium-ion battery technologies have conquered the current energy storage market as the most preferred choice thanks to their development in a longer lifetime. However, choosing the most suitable battery aging modeling methodology based on investigated lifetime characterization is still a challenge. In this work, a comprehensive aging dataset of Nickel-Manganese-Cobalt oxide (NMC) cell is used to develop and/or train different capacity fade models to compare output responses. The assessment is conducted for semi-empirical modeling (SeM) approach against a machine learning model and an artificial neural network model. Among all, the nonlinear autoregressive network (NARXnet) can predict the capacity degradation most precisely minimizing the computational effort as well. This research work signifies the importance of lifetime methodological choice and model performance in understanding the complex and nonlinear Li-ion battery aging behavior.
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Electro-aging model development of Nickel-Manganese-Cobalt lithium-ion technology validated with light and heavy-duty real-life profiles
Journal of Energy Storage, 2020Co-Authors: Sazzad Hosen, Joris Jaguemont, Danial Karimi, Theodoros Kalogiannis, Ashkan Pirooz, Maitane Berecibar, Joeri Van MierloAbstract:Abstract The understanding of battery aging has a significant influence on electric vehicle performance with optimized battery usage on the road. This paper presents a comprehensive electrical-aging model which has been developed by the thorough investigation of commercial Nickel-Manganese-Cobalt (NMC) 20Ah lithium-ion pouch cells. During a span of more than three years, detailed characterization and lifetime tests have been conducted on 75+ cells to build an extensive database of battery test results. A total of 39 aging test conditions covering 10 °C-45 °C temperatures, 20%-90% depth of discharge (DoD), 10%-80% storage state of charge (SoC), and 0.5C-3C current rate (C-rate) are performed to construct a robust electro-lifetime model. Within the scope of this research, the precision of the developed model is validated with both light and heavy-duty real-life dynamic profiles for the first time. More than a yearlong worldwide harmonized light vehicles (WLTC) cycling corresponds to very accurate root-mean-square error (RMSE) of 0.83% and 0.78% at 10 °C and 45 °C temperature, respectively. The model is also able to predict two types of inhouse developed heavy-duty profiles with an RMSE of 1.07% and 0.73%. The robust validation enables the developed tool to model complete aging and can be taken as base work towards online implementation.
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1D-Thermal Analysis and Electro-Thermal Modeling of Prismatic-Shape LTO and NMC Batteries
2019 IEEE Vehicle Power and Propulsion Conference (VPPC), 2019Co-Authors: Joris Jaguemont, Sazzad Hosen, Theodoros Kalogiannis, Mohsen Akbarzadeh Sokkeh, Lu Jin, Geng Qiao, Joeri Van MierloAbstract:In order to accurately predict and optimize the thermal behavior of batteries, a thermal model using heat equation and thermal parameters, such as the specific heat capacity, is developed. The specific heat capacity is an important parameter for this type of modelling and is determined with a simple method without using any calorimeter. This paper chooses two types of prismatic cells: lithium titanate (LTO) anode-based cell and Nickel Manganese Cobalt oxide (NMC) with 23 Ah and 43 Ah, respectively. Validation was made by comparing the simulation results with experimental work for which an error of less than 3% was shown.
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Thermal Effect of Fast-Charging Profiles on Lithium-Ion Batteries
2018 21st International Conference on Electrical Machines and Systems (ICEMS), 2018Co-Authors: Joris Jaguemont, Mohamed Abdel-monem, Noshin Omar, Joeri Van Mierlo, Peter Van Den BosscheAbstract:In this paper, the effect of fast-charging technics on thermal behavior of lithium-ion batteries is investigated. Fast-charging tests involve typically high-current profiles which leads to high cell temperature increase, and thus in some cases thermal runaways. Most papers in literature present the fast-charging technic from an electrical point-of-view. The thermal aspect is often disregarded. Therefore, two charging profiles that are commonly used for fast-charging applications are applied on two lithium-ion chemistries: lithium Nickel Manganese Cobalt oxide (NMC) and lithium titanate (LTO). Thermal pictures of the cells during the profile are recorded to witness the temperature distribution. In addition, to enlarge the study scope, three environmental temperatures are tested: 25°C, 10°C and 45°C.
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a combined thermo electric resistance degradation model for Nickel Manganese Cobalt oxide based lithium ion cells
Applied Thermal Engineering, 2018Co-Authors: Joris De Hoog, Joris Jaguemont, Alexandros NikolianAbstract:Abstract This paper presents a novel effort in combining an electro-thermal internal resistance model for Nickel Manganese Cobalt Oxide (NMC) cathode and graphite anode based cells, designed for predictive analysis for automotive applications. This unique approach provides insight in the degradation rate of the internal resistance with respect to the Depth of Discharge, Current rate, cycle number, storage State of Charge and storage time. The data used for the model development is courtesy of a huge test-campaign, spanning the course of 2.5 years, and provides a good insight in the behavior of what is considered to be a very promising battery cell technology for automotive applications. Experimental results show that the internal resistance evolution is strongly dependent on Depth of Discharge and temperature, while high storage State of Charges and high storage temperatures increase the degradation rate during calendaring aging. The combined electric and thermal models make it possible to estimate the influence of the current rate on the degradation of the internal resistance. The developed lifetime model is capable of correctly estimating the degradation and temperature behavior of static load profiles, while also providing insight in the evolution of the temperature profile and other cell characteristics.
Zonghai Chen - One of the best experts on this subject based on the ideXlab platform.
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Surface Modification for Suppressing Interfacial Parasitic Reactions of a Nickel-Rich Lithium-Ion Cathode
Chemistry of Materials, 2019Co-Authors: Han Gao, Jiyu Cai, Yang Ren, Xiangbo Meng, Khalil Amine, Zonghai ChenAbstract:Ni-rich lithium Nickel Manganese Cobalt oxides (LiNixMnyCo1–x–yO2, x ≥ 0.5, NMCs) are high-capacity cathode materials for Li-ion batteries, but they exhibit limited cycling stability under high cut...
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Migration of Mn cations in delithiated lithium Manganese oxides
Physical chemistry chemical physics : PCCP, 2014Co-Authors: Yongchun Kan, Yang Ren, Khalil Amine, Chi-kai Lin, Yang-kook Sun, Zonghai ChenAbstract:Li2MnO3 is an integrated component in lithium-Manganese-rich Nickel Manganese Cobalt oxides, and the conversion of Li2MnO3 to a spinel-like structure after electrochemical activation has been associated with the continuous potential decay of the material. Delithiated Li2MnO3 and delithiated LiMn2O4 were used as model materials to investigate the mechanism of forming the spinel-like structure. An in situ high-energy X-ray diffraction technique was used to trace the structural change of materials at elevated temperatures, a procedure to mimic the structural transformation during the normal cycling of batteries. It was also found that the migration of Mn atoms from the octahedral sites to tetrahedral sites is the key step for phase transformation from a monoclinic structure to a spinel structure.
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cathode material with nanorod structure an application for advanced high energy and safe lithium batteries
Chemistry of Materials, 2013Co-Authors: Hyung Joo Noh, Khalil Amine, Zonghai Chen, Chong Seung Yoon, Jun Lu, Yang-kook SunAbstract:We have developed a novel cathode material based on lithium–Nickel–Manganese–Cobalt oxide, where the Manganese concentration remains constant throughout the particle, while the Nickel concentration decreases linearly and the Cobalt concentration increases from the center to the outer surface of the particle. This full concentration gradient material with a fixed Manganese composition (FCG–Mn-F) has an average composition of Li[Ni0.60Co0.15Mn0.25]O2 and is composed of rod-shaped primary particles whose length reaches 2.5 μm, growing in the radial direction. In cell tests, the FCG–Mn-F material delivered a high capacity of 206 mAh g–1 with excellent capacity retention of 70.3% after 1000 cycles at 55 °C. This cathode material also exhibited outstanding rate capability, good low-temperature performance, and excellent safety, compared to a conventional cathode having the same composition (Li[Ni0.60Co0.15Mn0.25]O2), where the concentration of the metals is constant across the particles.
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Cathode Material with Nanorod Structure—An Application for Advanced High-Energy and Safe Lithium Batteries
Chemistry of Materials, 2013Co-Authors: Hyung Joo Noh, Khalil Amine, Zonghai Chen, Chong Seung Yoon, Yang-kook SunAbstract:We have developed a novel cathode material based on lithium–Nickel–Manganese–Cobalt oxide, where the Manganese concentration remains constant throughout the particle, while the Nickel concentration decreases linearly and the Cobalt concentration increases from the center to the outer surface of the particle. This full concentration gradient material with a fixed Manganese composition (FCG–Mn-F) has an average composition of Li[Ni0.60Co0.15Mn0.25]O2 and is composed of rod-shaped primary particles whose length reaches 2.5 μm, growing in the radial direction. In cell tests, the FCG–Mn-F material delivered a high capacity of 206 mAh g–1 with excellent capacity retention of 70.3% after 1000 cycles at 55 °C. This cathode material also exhibited outstanding rate capability, good low-temperature performance, and excellent safety, compared to a conventional cathode having the same composition (Li[Ni0.60Co0.15Mn0.25]O2), where the concentration of the metals is constant across the particles.
Mimi N. Hang - One of the best experts on this subject based on the ideXlab platform.
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Influence of Nickel Manganese Cobalt oxide nanoparticle composition on toxicity toward Shewanella oneidensis MR-1: redesigning for reduced biological impact
Environmental Science: Nano, 2017Co-Authors: Ian L. Gunsolus, Mimi N. Hang, Robert J. Hamers, Natalie V. Hudson-smith, Joseph T. Buchman, Joseph W. Bennett, Daniel Conroy, Sara E. Mason, Christy L. HaynesAbstract:Lithium Nickel Manganese Cobalt oxide (LixNiyMnzCo1−y−zO2, 0 < x, y, z < 1, also known as NMC) is a class of cathode materials used in lithium ion batteries. Despite the increasing use of NMC in nanoparticle form for next-generation energy storage applications, the potential environmental impact of released nanoscale NMC is not well characterized. Previously, we showed that the released Nickel and Cobalt ions from nanoscale Li1/3Ni1/3Mn1/3Co1/3O2 were largely responsible for impacting the growth and survival of the Gram-negative bacterium Shewanella oneidensis MR-1 (M. N. Hang et al., Chem. Mater., 2016, 28, 1092). Here, we show the first steps toward material redesign of NMC to mitigate its biological impact and to determine how the chemical composition of NMC can significantly alter the biological impact on S. oneidensis. We first synthesized NMC with various stoichiometries, with an aim to reduce the Ni and Co content: Li0.68Ni0.31Mn0.39Co0.30O2, Li0.61Ni0.23Mn0.55Co0.22O2, and Li0.52Ni0.14Mn0.72Co0.14O2. Then, S. oneidensis were exposed to 5 mg L−1 of these NMC formulations, and the impact on bacterial oxygen consumption was analyzed. Measurements of the NMC composition, by X-ray photoelectron spectroscopy, and composition of the nanoparticle suspension aqueous phase, by inductively coupled plasma-optical emission spectroscopy, showed the release of Li, Ni, Mn, and Co ions. Bacterial inhibition due to redesigned NMC exposure can be ascribed largely to the impact of ionic metal species released from the NMC, most notably Ni and Co. Tuning the NMC stoichiometry to have increased Mn at the expense of Ni and Co showed lowered, but not completely mitigated, biological impact. This study reveals that the chemical composition of NMC nanomaterials is an important parameter to consider in sustainable material design and usage.
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Impact of Nanoscale Lithium Nickel Manganese Cobalt Oxide (NMC) on the Bacterium Shewanella oneidensis MR-1
Chemistry of Materials, 2016Co-Authors: Mimi N. Hang, Ian L. Gunsolus, Hunter Wayland, Eric S. Melby, Arielle C. Mensch, Katie R. Hurley, Joel A. Pedersen, Christy L. Haynes, Robert J. HamersAbstract:Nickel Manganese Cobalt oxide (NMC) comprises a class of lithium intercalation compounds with the composition LxNiyMnzCo1-y-zO2 (0 < x,y,z < 1). These compounds are of emerging importance in nanoparticle form as cathode materials for lithium-ion batteries used in transportation and consumer electronics. To evaluate the potential environmental impact of release of this material in the environment, we synthesized NMC nanosheets and investigated their interaction with Shewanella oneidensis, a soil and sediment bacterium. Exposure to 5 mg/L NMC significantly impaired bacterial population growth and respiration. Measurements of NMC surface composition by X-ray photoelectron spectroscopy and of the composition of the suspending solution via inductively coupled plasma-optical emission spectroscopy (ICP-OES) demonstrated incongruent material dissolution and measurable release of all four metal constituents (Li, Mn, Co, and Ni) into solution. Speciation modeling and assessment of bacterial response to metal ion ex...
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Alteration of Membrane Compositional Asymmetry by LiCoO2 Nanosheets.
ACS nano, 2015Co-Authors: Merve Doğangün, Mimi N. Hang, Eric S. Melby, Joel A. Pedersen, Robert J. Hamers, Julianne M. Troiano, Alicia C. Mcgeachy, Franz M. GeigerAbstract:Given the projected massive presence of redox-active nanomaterials in the next generation of consumer electronics and electric vehicle batteries, they are likely to eventually come in contact with cell membranes, with biological consequences that are currently not known. Here, we present nonlinear optical studies showing that lithium Nickel Manganese Cobalt oxide nanosheets carrying a negative ζ-potential have no discernible consequences for lipid alignment and interleaflet composition in supported lipid bilayers formed from zwitterionic and negatively charged lipids. In contrast, lithiated and delithiated LiCoO2 nanosheets having positive and neutral ζ-potentials, respectively, alter the compositional asymmetry of the two membrane leaflets, and bilayer asymmetry remains disturbed even after rinsing. The insight that some Cobalt oxide nanoformulations induce alterations to the compositional asymmetry in idealized model membranes may represent an important step toward assessing the biological consequences ...